Title data
Fischer, Florian ; Fleig, Arthur ; Klar, Markus ; Grüne, Lars ; Müller, Jörg:
An Optimal Control Model of Mouse Pointing Using the LQR.
Bayreuth
,
2020
Official URL:
Abstract in another language
In this paper we explore the LinearQuadratic Regulator (LQR) to model movement of the mouse pointer. We propose a model in which users are assumed to behave optimally with respect to a certain cost function. Users try to minimize the distance of the mouse pointer to the target smoothly and with minimal effort, by simultaneously minimizing the jerk of the movement. We identify parameters of our model from a dataset of reciprocal pointing with the mouse. We compare our model to the classical minimumjerk and secondorder lag models on data from 12 users with a total of 7702 movements. Our results show that our approach explains the data significantly better than either of these previous models.
Further data
Item Type: 
Preprint, postprint

Refereed: 
No 
Additional notes: 
arXiv 2002.11596

Institutions of the University: 
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) > Chair Mathematics V (Applied Mathematics)  Univ.Prof. Dr. Lars Grüne Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science VIII > Chair Applied Computer Science VIII  Univ.Prof. Dr. Jörg Müller Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science VIII 
Result of work at the UBT: 
Yes 
DDC Subjects: 
000 Computer Science, information, general works 
Date Deposited: 
06 Apr 2020 09:02 
Last Modified: 
23 Mar 2021 09:12 
URI: 
https://eref.unibayreuth.de/id/eprint/54834 